{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T17:47:23Z","timestamp":1768412843075,"version":"3.49.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,30]]},"DOI":"10.1109\/icra48506.2021.9562091","type":"proceedings-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:28:35Z","timestamp":1634689715000},"page":"1290-1296","source":"Crossref","is-referenced-by-count":42,"title":["Auto-Tuned Sim-to-Real Transfer"],"prefix":"10.1109","author":[{"given":"Yuqing","family":"Du","sequence":"first","affiliation":[{"name":"UC Berkeley"}]},{"given":"Olivia","family":"Watkins","sequence":"additional","affiliation":[{"name":"UC Berkeley"}]},{"given":"Trevor","family":"Darrell","sequence":"additional","affiliation":[{"name":"UC Berkeley"}]},{"given":"Pieter","family":"Abbeel","sequence":"additional","affiliation":[{"name":"UC Berkeley"}]},{"given":"Deepak","family":"Pathak","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Sim-to-real reinforcement learning for deformable object manipulation","author":"matas","year":"2018","journal-title":"CoRR"},{"key":"ref11","article-title":"Closing the sim-to-real loop: Adapting simulation randomization with real world experience","author":"chebotar","year":"2018","journal-title":"CoRR"},{"key":"ref12","doi-asserted-by":"crossref","DOI":"10.1109\/IRC.2020.00015","article-title":"Sim2real2sim: Bridging the gap between simulation and real-world in flexible object manipulation","author":"chang","year":"2020"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202133"},{"key":"ref14","article-title":"Asymmetric actor critic for image-based robot learning","author":"pinto","year":"2017"},{"key":"ref15","first-page":"1","article-title":"Sim-to-real transfer of robotic control with dynamics randomization","author":"peng","year":"2018","journal-title":"2018 IEEE International Conference on Robotics and Automation (ICRA)"},{"key":"ref16","article-title":"(cad)?&#x02C6;2?rl: Real single-image flight without a single real image","author":"sadeghi","year":"2016","journal-title":"CoRR"},{"key":"ref17","article-title":"Solving rubik&#x2019;s cube with a robot hand","author":"openai","year":"2019"},{"key":"ref18","article-title":"Learning agile robotic locomotion skills by imitating animals","author":"peng","year":"2020"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2017.XIII.048"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-59496-5_337"},{"key":"ref3","article-title":"Learning dexterous in-hand manipulation","author":"openai","year":"2018"},{"key":"ref6","author":"ljung","year":"1986","journal-title":"System Identification Theory for the User"},{"key":"ref5","article-title":"Learning handeye coordination for robotic grasping with deep learning and large-scale data collection","author":"levine","year":"2016","journal-title":"CoRR"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202133"},{"key":"ref7","article-title":"Domain-adversarial training of neural networks","author":"ganin","year":"2015"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.abc5986"},{"key":"ref9","article-title":"Sim-to-real transfer of robotic control with dynamics randomization","author":"peng","year":"2017","journal-title":"CoRR"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2018.XIV.010"},{"key":"ref20","article-title":"Self-supervised sim-to-real adaptation for visual robotic manipulation","author":"jeong","year":"2019"},{"key":"ref22","article-title":"Curl: Contrastive unsupervised representations for reinforcement learning","author":"laskin","year":"2020","journal-title":"Proceedings of the 37th International Conference on Machine Learning Vienna Austria PMLR 119"},{"key":"ref21","article-title":"Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor","author":"haarnoja","year":"2018"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_24"},{"key":"ref23","article-title":"Reinforcement learning with augmented data","author":"laskin","year":"2020"},{"key":"ref25","article-title":"DeepMind control suite","author":"tassa","year":"2018","journal-title":"DeepMind Tech Rep"}],"event":{"name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","location":"Xi'an, China","start":{"date-parts":[[2021,5,30]]},"end":{"date-parts":[[2021,6,5]]}},"container-title":["2021 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9560720\/9560666\/09562091.pdf?arnumber=9562091","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,12]],"date-time":"2023-01-12T22:49:43Z","timestamp":1673563783000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9562091\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,30]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icra48506.2021.9562091","relation":{},"subject":[],"published":{"date-parts":[[2021,5,30]]}}}